A Study of Diurnai Variation of Indoor Radon Concentrations.

Radon and thoron monitoring in the environment of Kumaun Himalayas: survey and outcomes

“…The results obtained from radon measurements in Kumaun houses are quite different from previous findings (Ramola et al, 1997(Ramola et al, , 2000 of high radon activity High radon values recorded in this area are probably attributable to uranium mineralization associated with mylonitised granitic gneisses (Choubey et al, 1999;Nashine et al, 1982). The observed high indoor radon activity concentrations in Garhwal houses are attributable to high background radon activity concentrations in the area.…”

“…The activity concentrations of radon/thoron and their progeny are largely influenced by factors such as topography, type of house construction, building materials, temperature, pressure, humidity, ventilation, wind speed, and even the life style of the people living in the house (Jonassen, 1975;Martz et al, 1991;Nazaroff and Doyle, 1985;Ramola et al, 1987Ramola et al, , 1992Ramola et al, , 1998Ramola et al, , 2000Segovia and Cejudo, 1984;Subba Ramu et al, 1988). To estimate the annual average equivalent dose, a number of indoor radon surveys have been carried out around the world (UNSCEAR, 1993).…”

Accurate Measurement of Indoor Radon Concentration using a Low-Effective Volume Radon Monitor

“…The AlphaGUARD is the most popular portable device for radon measurement with an effective volume of 0.56 L ( 9 , 11 – 14 ) . The AlphaGUARD worked in the diffusion mode and measured the indoor air through the large surface glass-fiber filter (P0002451, Saphymo GmbH, Frankfurt, Germany) at 1-h intervals (the longest interval of the vendor’s specifications) or 10-min intervals.…”

Fitting Models of Vulnerability to Toxicity with Generalized Linear Models

“…The data was obtained when groups of 20 male and female moths were exposed to six "increasing" levels of a "pyrethroid" in order to "capture" its toxicity to tobacco budworm. The technique is contained in the following R commands: > library ("rJava") > library ("glmulti") > ldose<-rep (0:5,2) > numdead<-c (1,4,9,13,18,20,0,2,6,10,12,16) > sex<-factor (rep(c("M","F"), rep(6,2))) > SF<-cbind (numdead, numalive=20-numdead) > budworm<-glm (SF~sex*ldose, family=binomial) > plot (numdead, ldose) Then R will respond by plotting the graph;…”